Coverage Report

Created: 2025-12-03 07:28

next uncovered line (L), next uncovered region (R), next uncovered branch (B)
/src/libjxl/lib/jxl/modular/transform/squeeze.cc
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// Copyright (c) the JPEG XL Project Authors. All rights reserved.
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//
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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#include "lib/jxl/modular/transform/squeeze.h"
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#include <jxl/memory_manager.h>
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#include <algorithm>
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#include <cstdint>
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#include <cstdlib>
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#include <utility>
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#include <vector>
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#include "lib/jxl/base/common.h"
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#include "lib/jxl/base/compiler_specific.h"
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#include "lib/jxl/base/data_parallel.h"
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#include "lib/jxl/base/printf_macros.h"
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#include "lib/jxl/base/status.h"
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#include "lib/jxl/modular/modular_image.h"
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#include "lib/jxl/modular/transform/squeeze_params.h"
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#undef HWY_TARGET_INCLUDE
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#define HWY_TARGET_INCLUDE "lib/jxl/modular/transform/squeeze.cc"
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#include <hwy/foreach_target.h>
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#include <hwy/highway.h>
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#include "lib/jxl/simd_util-inl.h"
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HWY_BEFORE_NAMESPACE();
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namespace jxl {
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namespace HWY_NAMESPACE {
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#if HWY_TARGET != HWY_SCALAR
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// These templates are not found via ADL.
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using hwy::HWY_NAMESPACE::Abs;
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using hwy::HWY_NAMESPACE::Add;
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using hwy::HWY_NAMESPACE::And;
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using hwy::HWY_NAMESPACE::DupEven;
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using hwy::HWY_NAMESPACE::DupOdd;
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using hwy::HWY_NAMESPACE::Gt;
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using hwy::HWY_NAMESPACE::IfThenElse;
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using hwy::HWY_NAMESPACE::IfThenZeroElse;
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using hwy::HWY_NAMESPACE::Lt;
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using hwy::HWY_NAMESPACE::MulEven;
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using hwy::HWY_NAMESPACE::MulOdd;
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using hwy::HWY_NAMESPACE::Ne;
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using hwy::HWY_NAMESPACE::Neg;
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using hwy::HWY_NAMESPACE::OddEven;
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using hwy::HWY_NAMESPACE::RebindToUnsigned;
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using hwy::HWY_NAMESPACE::ShiftLeft;
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using hwy::HWY_NAMESPACE::ShiftRight;
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using hwy::HWY_NAMESPACE::Sub;
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using hwy::HWY_NAMESPACE::Xor;
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using D = HWY_CAPPED(pixel_type, 8);
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using DU = RebindToUnsigned<D>;
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constexpr D d;
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constexpr DU du;
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JXL_INLINE void FastUnsqueeze(const pixel_type *JXL_RESTRICT p_residual,
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                              const pixel_type *JXL_RESTRICT p_avg,
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                              const pixel_type *JXL_RESTRICT p_navg,
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                              const pixel_type *p_pout,
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                              pixel_type *JXL_RESTRICT p_out,
67
14.6M
                              pixel_type *p_nout) {
68
14.6M
  const size_t N = Lanes(d);
69
14.6M
  auto onethird = Set(d, 0x55555556);
70
29.3M
  for (size_t x = 0; x < 8; x += N) {
71
14.6M
    auto avg = Load(d, p_avg + x);
72
14.6M
    auto next_avg = Load(d, p_navg + x);
73
14.6M
    auto top = Load(d, p_pout + x);
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    // Equivalent to SmoothTendency(top,avg,next_avg), but without branches
75
    // typo:off
76
14.6M
    auto Ba = Sub(top, avg);
77
14.6M
    auto an = Sub(avg, next_avg);
78
14.6M
    auto nonmono = Xor(Ba, an);
79
14.6M
    auto absBa = Abs(Ba);
80
14.6M
    auto absan = Abs(an);
81
14.6M
    auto absBn = Abs(Sub(top, next_avg));
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    // Compute a3 = absBa / 3
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14.6M
    auto a3eh = MulEven(absBa, onethird);
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14.6M
    auto a3oh = MulOdd(absBa, onethird);
85
86
14.6M
#if (HWY_MAJOR > 1 || (HWY_MAJOR == 1 && HWY_MINOR >= 2))
87
14.6M
#if HWY_IS_LITTLE_ENDIAN
88
14.6M
    auto a3 = InterleaveOdd(d, BitCast(d, a3eh), BitCast(d, a3oh));
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#else  // not little endian
90
    auto a3 = InterleaveEven(d, BitCast(d, a3eh), BitCast(d, a3oh));
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#endif  // endianness
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#else  // hwy < 1.2
93
#if HWY_IS_LITTLE_ENDIAN
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    auto a3 = OddEven(BitCast(d, a3oh), DupOdd(BitCast(d, a3eh)));
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#else  // not little endian
96
    auto a3 = OddEven(DupEven(BitCast(d, a3oh)), BitCast(d, a3eh))
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#endif  // endianness
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#endif  // hwy version
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100
14.6M
    a3 = Add(a3, Add(absBn, Set(d, 2)));
101
14.6M
    auto absdiff = ShiftRight<2>(a3);
102
14.6M
    auto skipdiff = Ne(Ba, Zero(d));
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14.6M
    skipdiff = And(skipdiff, Ne(an, Zero(d)));
104
14.6M
    skipdiff = And(skipdiff, Lt(nonmono, Zero(d)));
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14.6M
    auto absBa2 = Add(ShiftLeft<1>(absBa), And(absdiff, Set(d, 1)));
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14.6M
    absdiff = IfThenElse(Gt(absdiff, absBa2),
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14.6M
                         Add(ShiftLeft<1>(absBa), Set(d, 1)), absdiff);
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    // typo:on
109
14.6M
    auto absan2 = ShiftLeft<1>(absan);
110
14.6M
    absdiff = IfThenElse(Gt(Add(absdiff, And(absdiff, Set(d, 1))), absan2),
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14.6M
                         absan2, absdiff);
112
14.6M
    auto diff1 = IfThenElse(Lt(top, next_avg), Neg(absdiff), absdiff);
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14.6M
    auto tendency = IfThenZeroElse(skipdiff, diff1);
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115
14.6M
    auto diff_minus_tendency = Load(d, p_residual + x);
116
14.6M
    auto diff = Add(diff_minus_tendency, tendency);
117
14.6M
    auto out =
118
14.6M
        Add(avg, ShiftRight<1>(
119
14.6M
                     Add(diff, BitCast(d, ShiftRight<31>(BitCast(du, diff))))));
120
14.6M
    Store(out, d, p_out + x);
121
14.6M
    Store(Sub(out, diff), d, p_nout + x);
122
14.6M
  }
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14.6M
}
Unexecuted instantiation: jxl::N_SSE4::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
jxl::N_AVX2::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
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67
14.6M
                              pixel_type *p_nout) {
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14.6M
  const size_t N = Lanes(d);
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14.6M
  auto onethird = Set(d, 0x55555556);
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29.3M
  for (size_t x = 0; x < 8; x += N) {
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14.6M
    auto avg = Load(d, p_avg + x);
72
14.6M
    auto next_avg = Load(d, p_navg + x);
73
14.6M
    auto top = Load(d, p_pout + x);
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    // Equivalent to SmoothTendency(top,avg,next_avg), but without branches
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    // typo:off
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14.6M
    auto Ba = Sub(top, avg);
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14.6M
    auto an = Sub(avg, next_avg);
78
14.6M
    auto nonmono = Xor(Ba, an);
79
14.6M
    auto absBa = Abs(Ba);
80
14.6M
    auto absan = Abs(an);
81
14.6M
    auto absBn = Abs(Sub(top, next_avg));
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    // Compute a3 = absBa / 3
83
14.6M
    auto a3eh = MulEven(absBa, onethird);
84
14.6M
    auto a3oh = MulOdd(absBa, onethird);
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86
14.6M
#if (HWY_MAJOR > 1 || (HWY_MAJOR == 1 && HWY_MINOR >= 2))
87
14.6M
#if HWY_IS_LITTLE_ENDIAN
88
14.6M
    auto a3 = InterleaveOdd(d, BitCast(d, a3eh), BitCast(d, a3oh));
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#else  // not little endian
90
    auto a3 = InterleaveEven(d, BitCast(d, a3eh), BitCast(d, a3oh));
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#endif  // endianness
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#else  // hwy < 1.2
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#if HWY_IS_LITTLE_ENDIAN
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    auto a3 = OddEven(BitCast(d, a3oh), DupOdd(BitCast(d, a3eh)));
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#else  // not little endian
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    auto a3 = OddEven(DupEven(BitCast(d, a3oh)), BitCast(d, a3eh))
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#endif  // endianness
98
#endif  // hwy version
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100
14.6M
    a3 = Add(a3, Add(absBn, Set(d, 2)));
101
14.6M
    auto absdiff = ShiftRight<2>(a3);
102
14.6M
    auto skipdiff = Ne(Ba, Zero(d));
103
14.6M
    skipdiff = And(skipdiff, Ne(an, Zero(d)));
104
14.6M
    skipdiff = And(skipdiff, Lt(nonmono, Zero(d)));
105
14.6M
    auto absBa2 = Add(ShiftLeft<1>(absBa), And(absdiff, Set(d, 1)));
106
14.6M
    absdiff = IfThenElse(Gt(absdiff, absBa2),
107
14.6M
                         Add(ShiftLeft<1>(absBa), Set(d, 1)), absdiff);
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    // typo:on
109
14.6M
    auto absan2 = ShiftLeft<1>(absan);
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14.6M
    absdiff = IfThenElse(Gt(Add(absdiff, And(absdiff, Set(d, 1))), absan2),
111
14.6M
                         absan2, absdiff);
112
14.6M
    auto diff1 = IfThenElse(Lt(top, next_avg), Neg(absdiff), absdiff);
113
14.6M
    auto tendency = IfThenZeroElse(skipdiff, diff1);
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115
14.6M
    auto diff_minus_tendency = Load(d, p_residual + x);
116
14.6M
    auto diff = Add(diff_minus_tendency, tendency);
117
14.6M
    auto out =
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14.6M
        Add(avg, ShiftRight<1>(
119
14.6M
                     Add(diff, BitCast(d, ShiftRight<31>(BitCast(du, diff))))));
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14.6M
    Store(out, d, p_out + x);
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14.6M
    Store(Sub(out, diff), d, p_nout + x);
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14.6M
  }
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14.6M
}
Unexecuted instantiation: jxl::N_AVX3::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
Unexecuted instantiation: jxl::N_AVX3_ZEN4::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
Unexecuted instantiation: jxl::N_AVX3_SPR::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
Unexecuted instantiation: jxl::N_SSE2::FastUnsqueeze(int const*, int const*, int const*, int const*, int*, int*)
124
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#endif  // HWY_TARGET != HWY_SCALAR
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54.8k
Status InvHSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
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54.8k
  JXL_ENSURE(c < input.channel.size());
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54.8k
  JXL_ENSURE(rc < input.channel.size());
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54.8k
  Channel &chin = input.channel[c];
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54.8k
  const Channel &chin_residual = input.channel[rc];
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  // These must be valid since we ran MetaApply already.
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54.8k
  JXL_ENSURE(chin.w == DivCeil(chin.w + chin_residual.w, 2));
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54.8k
  JXL_ENSURE(chin.h == chin_residual.h);
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54.8k
  JxlMemoryManager *memory_manager = input.memory_manager();
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54.8k
  if (chin_residual.w == 0) {
138
    // Short-circuit: output channel has same dimensions as input.
139
784
    input.channel[c].hshift--;
140
784
    return true;
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784
  }
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  // Note: chin.w >= chin_residual.w and at most 1 different.
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108k
  JXL_ASSIGN_OR_RETURN(Channel chout,
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108k
                       Channel::Create(memory_manager, chin.w + chin_residual.w,
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108k
                                       chin.h, chin.hshift - 1, chin.vshift));
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108k
  JXL_DEBUG_V(4,
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108k
              "Undoing horizontal squeeze of channel %i using residuals in "
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108k
              "channel %i (going from width %" PRIuS " to %" PRIuS ")",
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108k
              c, rc, chin.w, chout.w);
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152
108k
  if (chin_residual.h == 0) {
153
    // Short-circuit: channel with no pixels.
154
0
    input.channel[c] = std::move(chout);
155
0
    return true;
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0
  }
157
1.69M
  auto unsqueeze_row = [&](size_t y, size_t x0) {
158
1.69M
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y);
159
1.69M
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y);
160
1.69M
    pixel_type *JXL_RESTRICT p_out = chout.Row(y);
161
14.4M
    for (size_t x = x0; x < chin_residual.w; x++) {
162
12.7M
      pixel_type_w diff_minus_tendency = p_residual[x];
163
12.7M
      pixel_type_w avg = p_avg[x];
164
12.7M
      pixel_type_w next_avg = (x + 1 < chin.w ? p_avg[x + 1] : avg);
165
12.7M
      pixel_type_w left = (x ? p_out[(x << 1) - 1] : avg);
166
12.7M
      pixel_type_w tendency = SmoothTendency(left, avg, next_avg);
167
12.7M
      pixel_type_w diff = diff_minus_tendency + tendency;
168
12.7M
      pixel_type_w A = avg + (diff / 2);
169
12.7M
      p_out[(x << 1)] = A;
170
12.7M
      pixel_type_w B = A - diff;
171
12.7M
      p_out[(x << 1) + 1] = B;
172
12.7M
    }
173
1.69M
    if (chout.w & 1) p_out[chout.w - 1] = p_avg[chin.w - 1];
174
1.69M
  };
Unexecuted instantiation: squeeze.cc:jxl::N_SSE4::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
squeeze.cc:jxl::N_AVX2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
Line
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Source
157
1.69M
  auto unsqueeze_row = [&](size_t y, size_t x0) {
158
1.69M
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y);
159
1.69M
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y);
160
1.69M
    pixel_type *JXL_RESTRICT p_out = chout.Row(y);
161
14.4M
    for (size_t x = x0; x < chin_residual.w; x++) {
162
12.7M
      pixel_type_w diff_minus_tendency = p_residual[x];
163
12.7M
      pixel_type_w avg = p_avg[x];
164
12.7M
      pixel_type_w next_avg = (x + 1 < chin.w ? p_avg[x + 1] : avg);
165
12.7M
      pixel_type_w left = (x ? p_out[(x << 1) - 1] : avg);
166
12.7M
      pixel_type_w tendency = SmoothTendency(left, avg, next_avg);
167
12.7M
      pixel_type_w diff = diff_minus_tendency + tendency;
168
12.7M
      pixel_type_w A = avg + (diff / 2);
169
12.7M
      p_out[(x << 1)] = A;
170
12.7M
      pixel_type_w B = A - diff;
171
12.7M
      p_out[(x << 1) + 1] = B;
172
12.7M
    }
173
1.69M
    if (chout.w & 1) p_out[chout.w - 1] = p_avg[chin.w - 1];
174
1.69M
  };
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3_ZEN4::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3_SPR::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_SSE2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned long, unsigned long) const
175
176
  // somewhat complicated trickery just to be able to SIMD this.
177
  // Horizontal unsqueeze has horizontal data dependencies, so we do
178
  // 8 rows at a time and treat it as a vertical unsqueeze of a
179
  // transposed 8x8 block (or 9x8 for one input).
180
54.0k
  static constexpr const size_t kRowsPerThread = 8;
181
54.0k
  const auto unsqueeze_span = [&](const uint32_t task,
182
233k
                                  size_t /* thread */) -> Status {
183
233k
    const size_t y0 = task * kRowsPerThread;
184
233k
    const size_t rows = std::min(kRowsPerThread, chin.h - y0);
185
233k
    size_t x = 0;
186
187
233k
#if HWY_TARGET != HWY_SCALAR
188
233k
    ptrdiff_t onerow_in = chin.plane.PixelsPerRow();
189
233k
    ptrdiff_t onerow_inr = chin_residual.plane.PixelsPerRow();
190
233k
    ptrdiff_t onerow_out = chout.plane.PixelsPerRow();
191
233k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y0);
192
233k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y0);
193
233k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y0);
194
233k
    HWY_ALIGN pixel_type b_p_avg[9 * kRowsPerThread];
195
233k
    HWY_ALIGN pixel_type b_p_residual[8 * kRowsPerThread];
196
233k
    HWY_ALIGN pixel_type b_p_out_even[8 * kRowsPerThread];
197
233k
    HWY_ALIGN pixel_type b_p_out_odd[8 * kRowsPerThread];
198
233k
    HWY_ALIGN pixel_type b_p_out_evenT[8 * kRowsPerThread];
199
233k
    HWY_ALIGN pixel_type b_p_out_oddT[8 * kRowsPerThread];
200
233k
    const size_t N = Lanes(d);
201
233k
    if (chin_residual.w > 16 && rows == kRowsPerThread) {
202
1.10M
      for (; x < chin_residual.w - 9; x += 8) {
203
951k
        Transpose8x8Block(p_residual + x, b_p_residual, onerow_inr);
204
951k
        Transpose8x8Block(p_avg + x, b_p_avg, onerow_in);
205
8.56M
        for (size_t y = 0; y < kRowsPerThread; y++) {
206
7.61M
          b_p_avg[8 * 8 + y] = p_avg[x + 8 + onerow_in * y];
207
7.61M
        }
208
8.56M
        for (size_t i = 0; i < 8; i++) {
209
7.61M
          FastUnsqueeze(
210
7.61M
              b_p_residual + 8 * i, b_p_avg + 8 * i, b_p_avg + 8 * (i + 1),
211
7.61M
              (x + i ? b_p_out_odd + 8 * ((x + i - 1) & 7) : b_p_avg + 8 * i),
212
7.61M
              b_p_out_even + 8 * i, b_p_out_odd + 8 * i);
213
7.61M
        }
214
215
951k
        Transpose8x8Block(b_p_out_even, b_p_out_evenT, 8);
216
951k
        Transpose8x8Block(b_p_out_odd, b_p_out_oddT, 8);
217
8.56M
        for (size_t y = 0; y < kRowsPerThread; y++) {
218
15.2M
          for (size_t i = 0; i < kRowsPerThread; i += N) {
219
7.61M
            auto even = Load(d, b_p_out_evenT + 8 * y + i);
220
7.61M
            auto odd = Load(d, b_p_out_oddT + 8 * y + i);
221
7.61M
            StoreInterleaved(d, even, odd,
222
7.61M
                             p_out + ((x + i) << 1) + onerow_out * y);
223
7.61M
          }
224
7.61M
        }
225
951k
      }
226
156k
    }
227
233k
#endif  // HWY_TARGET != HWY_SCALAR
228
1.92M
    for (size_t y = 0; y < rows; y++) {
229
1.69M
      unsqueeze_row(y0 + y, x);
230
1.69M
    }
231
233k
    return true;
232
233k
  };
Unexecuted instantiation: squeeze.cc:jxl::N_SSE4::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
squeeze.cc:jxl::N_AVX2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
Line
Count
Source
182
233k
                                  size_t /* thread */) -> Status {
183
233k
    const size_t y0 = task * kRowsPerThread;
184
233k
    const size_t rows = std::min(kRowsPerThread, chin.h - y0);
185
233k
    size_t x = 0;
186
187
233k
#if HWY_TARGET != HWY_SCALAR
188
233k
    ptrdiff_t onerow_in = chin.plane.PixelsPerRow();
189
233k
    ptrdiff_t onerow_inr = chin_residual.plane.PixelsPerRow();
190
233k
    ptrdiff_t onerow_out = chout.plane.PixelsPerRow();
191
233k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y0);
192
233k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y0);
193
233k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y0);
194
233k
    HWY_ALIGN pixel_type b_p_avg[9 * kRowsPerThread];
195
233k
    HWY_ALIGN pixel_type b_p_residual[8 * kRowsPerThread];
196
233k
    HWY_ALIGN pixel_type b_p_out_even[8 * kRowsPerThread];
197
233k
    HWY_ALIGN pixel_type b_p_out_odd[8 * kRowsPerThread];
198
233k
    HWY_ALIGN pixel_type b_p_out_evenT[8 * kRowsPerThread];
199
233k
    HWY_ALIGN pixel_type b_p_out_oddT[8 * kRowsPerThread];
200
233k
    const size_t N = Lanes(d);
201
233k
    if (chin_residual.w > 16 && rows == kRowsPerThread) {
202
1.10M
      for (; x < chin_residual.w - 9; x += 8) {
203
951k
        Transpose8x8Block(p_residual + x, b_p_residual, onerow_inr);
204
951k
        Transpose8x8Block(p_avg + x, b_p_avg, onerow_in);
205
8.56M
        for (size_t y = 0; y < kRowsPerThread; y++) {
206
7.61M
          b_p_avg[8 * 8 + y] = p_avg[x + 8 + onerow_in * y];
207
7.61M
        }
208
8.56M
        for (size_t i = 0; i < 8; i++) {
209
7.61M
          FastUnsqueeze(
210
7.61M
              b_p_residual + 8 * i, b_p_avg + 8 * i, b_p_avg + 8 * (i + 1),
211
7.61M
              (x + i ? b_p_out_odd + 8 * ((x + i - 1) & 7) : b_p_avg + 8 * i),
212
7.61M
              b_p_out_even + 8 * i, b_p_out_odd + 8 * i);
213
7.61M
        }
214
215
951k
        Transpose8x8Block(b_p_out_even, b_p_out_evenT, 8);
216
951k
        Transpose8x8Block(b_p_out_odd, b_p_out_oddT, 8);
217
8.56M
        for (size_t y = 0; y < kRowsPerThread; y++) {
218
15.2M
          for (size_t i = 0; i < kRowsPerThread; i += N) {
219
7.61M
            auto even = Load(d, b_p_out_evenT + 8 * y + i);
220
7.61M
            auto odd = Load(d, b_p_out_oddT + 8 * y + i);
221
7.61M
            StoreInterleaved(d, even, odd,
222
7.61M
                             p_out + ((x + i) << 1) + onerow_out * y);
223
7.61M
          }
224
7.61M
        }
225
951k
      }
226
156k
    }
227
233k
#endif  // HWY_TARGET != HWY_SCALAR
228
1.92M
    for (size_t y = 0; y < rows; y++) {
229
1.69M
      unsqueeze_row(y0 + y, x);
230
1.69M
    }
231
233k
    return true;
232
233k
  };
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3_ZEN4::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3_SPR::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_SSE2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_1::operator()(unsigned int, unsigned long) const
233
54.0k
  JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.h, kRowsPerThread),
234
54.0k
                                ThreadPool::NoInit, unsqueeze_span,
235
54.0k
                                "InvHorizontalSqueeze"));
236
54.0k
  input.channel[c] = std::move(chout);
237
54.0k
  return true;
238
54.0k
}
Unexecuted instantiation: jxl::N_SSE4::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
jxl::N_AVX2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Line
Count
Source
127
54.8k
Status InvHSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
128
54.8k
  JXL_ENSURE(c < input.channel.size());
129
54.8k
  JXL_ENSURE(rc < input.channel.size());
130
54.8k
  Channel &chin = input.channel[c];
131
54.8k
  const Channel &chin_residual = input.channel[rc];
132
  // These must be valid since we ran MetaApply already.
133
54.8k
  JXL_ENSURE(chin.w == DivCeil(chin.w + chin_residual.w, 2));
134
54.8k
  JXL_ENSURE(chin.h == chin_residual.h);
135
54.8k
  JxlMemoryManager *memory_manager = input.memory_manager();
136
137
54.8k
  if (chin_residual.w == 0) {
138
    // Short-circuit: output channel has same dimensions as input.
139
784
    input.channel[c].hshift--;
140
784
    return true;
141
784
  }
142
143
  // Note: chin.w >= chin_residual.w and at most 1 different.
144
108k
  JXL_ASSIGN_OR_RETURN(Channel chout,
145
108k
                       Channel::Create(memory_manager, chin.w + chin_residual.w,
146
108k
                                       chin.h, chin.hshift - 1, chin.vshift));
147
108k
  JXL_DEBUG_V(4,
148
108k
              "Undoing horizontal squeeze of channel %i using residuals in "
149
108k
              "channel %i (going from width %" PRIuS " to %" PRIuS ")",
150
108k
              c, rc, chin.w, chout.w);
151
152
108k
  if (chin_residual.h == 0) {
153
    // Short-circuit: channel with no pixels.
154
0
    input.channel[c] = std::move(chout);
155
0
    return true;
156
0
  }
157
54.0k
  auto unsqueeze_row = [&](size_t y, size_t x0) {
158
54.0k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y);
159
54.0k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y);
160
54.0k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y);
161
54.0k
    for (size_t x = x0; x < chin_residual.w; x++) {
162
54.0k
      pixel_type_w diff_minus_tendency = p_residual[x];
163
54.0k
      pixel_type_w avg = p_avg[x];
164
54.0k
      pixel_type_w next_avg = (x + 1 < chin.w ? p_avg[x + 1] : avg);
165
54.0k
      pixel_type_w left = (x ? p_out[(x << 1) - 1] : avg);
166
54.0k
      pixel_type_w tendency = SmoothTendency(left, avg, next_avg);
167
54.0k
      pixel_type_w diff = diff_minus_tendency + tendency;
168
54.0k
      pixel_type_w A = avg + (diff / 2);
169
54.0k
      p_out[(x << 1)] = A;
170
54.0k
      pixel_type_w B = A - diff;
171
54.0k
      p_out[(x << 1) + 1] = B;
172
54.0k
    }
173
54.0k
    if (chout.w & 1) p_out[chout.w - 1] = p_avg[chin.w - 1];
174
54.0k
  };
175
176
  // somewhat complicated trickery just to be able to SIMD this.
177
  // Horizontal unsqueeze has horizontal data dependencies, so we do
178
  // 8 rows at a time and treat it as a vertical unsqueeze of a
179
  // transposed 8x8 block (or 9x8 for one input).
180
54.0k
  static constexpr const size_t kRowsPerThread = 8;
181
54.0k
  const auto unsqueeze_span = [&](const uint32_t task,
182
54.0k
                                  size_t /* thread */) -> Status {
183
54.0k
    const size_t y0 = task * kRowsPerThread;
184
54.0k
    const size_t rows = std::min(kRowsPerThread, chin.h - y0);
185
54.0k
    size_t x = 0;
186
187
54.0k
#if HWY_TARGET != HWY_SCALAR
188
54.0k
    ptrdiff_t onerow_in = chin.plane.PixelsPerRow();
189
54.0k
    ptrdiff_t onerow_inr = chin_residual.plane.PixelsPerRow();
190
54.0k
    ptrdiff_t onerow_out = chout.plane.PixelsPerRow();
191
54.0k
    const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y0);
192
54.0k
    const pixel_type *JXL_RESTRICT p_avg = chin.Row(y0);
193
54.0k
    pixel_type *JXL_RESTRICT p_out = chout.Row(y0);
194
54.0k
    HWY_ALIGN pixel_type b_p_avg[9 * kRowsPerThread];
195
54.0k
    HWY_ALIGN pixel_type b_p_residual[8 * kRowsPerThread];
196
54.0k
    HWY_ALIGN pixel_type b_p_out_even[8 * kRowsPerThread];
197
54.0k
    HWY_ALIGN pixel_type b_p_out_odd[8 * kRowsPerThread];
198
54.0k
    HWY_ALIGN pixel_type b_p_out_evenT[8 * kRowsPerThread];
199
54.0k
    HWY_ALIGN pixel_type b_p_out_oddT[8 * kRowsPerThread];
200
54.0k
    const size_t N = Lanes(d);
201
54.0k
    if (chin_residual.w > 16 && rows == kRowsPerThread) {
202
54.0k
      for (; x < chin_residual.w - 9; x += 8) {
203
54.0k
        Transpose8x8Block(p_residual + x, b_p_residual, onerow_inr);
204
54.0k
        Transpose8x8Block(p_avg + x, b_p_avg, onerow_in);
205
54.0k
        for (size_t y = 0; y < kRowsPerThread; y++) {
206
54.0k
          b_p_avg[8 * 8 + y] = p_avg[x + 8 + onerow_in * y];
207
54.0k
        }
208
54.0k
        for (size_t i = 0; i < 8; i++) {
209
54.0k
          FastUnsqueeze(
210
54.0k
              b_p_residual + 8 * i, b_p_avg + 8 * i, b_p_avg + 8 * (i + 1),
211
54.0k
              (x + i ? b_p_out_odd + 8 * ((x + i - 1) & 7) : b_p_avg + 8 * i),
212
54.0k
              b_p_out_even + 8 * i, b_p_out_odd + 8 * i);
213
54.0k
        }
214
215
54.0k
        Transpose8x8Block(b_p_out_even, b_p_out_evenT, 8);
216
54.0k
        Transpose8x8Block(b_p_out_odd, b_p_out_oddT, 8);
217
54.0k
        for (size_t y = 0; y < kRowsPerThread; y++) {
218
54.0k
          for (size_t i = 0; i < kRowsPerThread; i += N) {
219
54.0k
            auto even = Load(d, b_p_out_evenT + 8 * y + i);
220
54.0k
            auto odd = Load(d, b_p_out_oddT + 8 * y + i);
221
54.0k
            StoreInterleaved(d, even, odd,
222
54.0k
                             p_out + ((x + i) << 1) + onerow_out * y);
223
54.0k
          }
224
54.0k
        }
225
54.0k
      }
226
54.0k
    }
227
54.0k
#endif  // HWY_TARGET != HWY_SCALAR
228
54.0k
    for (size_t y = 0; y < rows; y++) {
229
54.0k
      unsqueeze_row(y0 + y, x);
230
54.0k
    }
231
54.0k
    return true;
232
54.0k
  };
233
54.0k
  JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.h, kRowsPerThread),
234
54.0k
                                ThreadPool::NoInit, unsqueeze_span,
235
54.0k
                                "InvHorizontalSqueeze"));
236
54.0k
  input.channel[c] = std::move(chout);
237
54.0k
  return true;
238
54.0k
}
Unexecuted instantiation: jxl::N_AVX3::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_AVX3_ZEN4::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_AVX3_SPR::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_SSE2::InvHSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
239
240
58.1k
Status InvVSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
241
58.1k
  JXL_ENSURE(c < input.channel.size());
242
58.1k
  JXL_ENSURE(rc < input.channel.size());
243
58.1k
  const Channel &chin = input.channel[c];
244
58.1k
  const Channel &chin_residual = input.channel[rc];
245
  // These must be valid since we ran MetaApply already.
246
58.1k
  JXL_ENSURE(chin.h == DivCeil(chin.h + chin_residual.h, 2));
247
58.1k
  JXL_ENSURE(chin.w == chin_residual.w);
248
58.1k
  JxlMemoryManager *memory_manager = input.memory_manager();
249
250
58.1k
  if (chin_residual.h == 0) {
251
    // Short-circuit: output channel has same dimensions as input.
252
6.80k
    input.channel[c].vshift--;
253
6.80k
    return true;
254
6.80k
  }
255
256
  // Note: chin.h >= chin_residual.h and at most 1 different.
257
102k
  JXL_ASSIGN_OR_RETURN(
258
102k
      Channel chout,
259
102k
      Channel::Create(memory_manager, chin.w, chin.h + chin_residual.h,
260
102k
                      chin.hshift, chin.vshift - 1));
261
102k
  JXL_DEBUG_V(
262
102k
      4,
263
102k
      "Undoing vertical squeeze of channel %i using residuals in channel "
264
102k
      "%i (going from height %" PRIuS " to %" PRIuS ")",
265
102k
      c, rc, chin.h, chout.h);
266
267
102k
  if (chin_residual.w == 0) {
268
    // Short-circuit: channel with no pixels.
269
0
    input.channel[c] = std::move(chout);
270
0
    return true;
271
0
  }
272
273
51.3k
  static constexpr const int kColsPerThread = 64;
274
51.3k
  const auto unsqueeze_slice = [&](const uint32_t task,
275
57.3k
                                   size_t /* thread */) -> Status {
276
57.3k
    const size_t x0 = task * kColsPerThread;
277
57.3k
    const size_t x1 =
278
57.3k
        std::min(static_cast<size_t>(task + 1) * kColsPerThread, chin.w);
279
57.3k
    const size_t w = x1 - x0;
280
    // We only iterate up to std::min(chin_residual.h, chin.h) which is
281
    // always chin_residual.h.
282
1.50M
    for (size_t y = 0; y < chin_residual.h; y++) {
283
1.44M
      const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y) + x0;
284
1.44M
      const pixel_type *JXL_RESTRICT p_avg = chin.Row(y) + x0;
285
1.44M
      const pixel_type *JXL_RESTRICT p_navg =
286
1.44M
          chin.Row(y + 1 < chin.h ? y + 1 : y) + x0;
287
1.44M
      pixel_type *JXL_RESTRICT p_out = chout.Row(y << 1) + x0;
288
1.44M
      pixel_type *JXL_RESTRICT p_nout = chout.Row((y << 1) + 1) + x0;
289
1.44M
      const pixel_type *p_pout = y > 0 ? chout.Row((y << 1) - 1) + x0 : p_avg;
290
1.44M
      size_t x = 0;
291
1.44M
#if HWY_TARGET != HWY_SCALAR
292
8.50M
      for (; x + 7 < w; x += 8) {
293
7.05M
        FastUnsqueeze(p_residual + x, p_avg + x, p_navg + x, p_pout + x,
294
7.05M
                      p_out + x, p_nout + x);
295
7.05M
      }
296
1.44M
#endif
297
4.33M
      for (; x < w; x++) {
298
2.88M
        pixel_type_w avg = p_avg[x];
299
2.88M
        pixel_type_w next_avg = p_navg[x];
300
2.88M
        pixel_type_w top = p_pout[x];
301
2.88M
        pixel_type_w tendency = SmoothTendency(top, avg, next_avg);
302
2.88M
        pixel_type_w diff_minus_tendency = p_residual[x];
303
2.88M
        pixel_type_w diff = diff_minus_tendency + tendency;
304
2.88M
        pixel_type_w out = avg + (diff / 2);
305
2.88M
        p_out[x] = out;
306
        // If the chin_residual.h == chin.h, the output has an even number
307
        // of rows so the next line is fine. Otherwise, this loop won't
308
        // write to the last output row which is handled separately.
309
2.88M
        p_nout[x] = out - diff;
310
2.88M
      }
311
1.44M
    }
312
57.3k
    return true;
313
57.3k
  };
Unexecuted instantiation: squeeze.cc:jxl::N_SSE4::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
squeeze.cc:jxl::N_AVX2::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
Line
Count
Source
275
57.3k
                                   size_t /* thread */) -> Status {
276
57.3k
    const size_t x0 = task * kColsPerThread;
277
57.3k
    const size_t x1 =
278
57.3k
        std::min(static_cast<size_t>(task + 1) * kColsPerThread, chin.w);
279
57.3k
    const size_t w = x1 - x0;
280
    // We only iterate up to std::min(chin_residual.h, chin.h) which is
281
    // always chin_residual.h.
282
1.50M
    for (size_t y = 0; y < chin_residual.h; y++) {
283
1.44M
      const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y) + x0;
284
1.44M
      const pixel_type *JXL_RESTRICT p_avg = chin.Row(y) + x0;
285
1.44M
      const pixel_type *JXL_RESTRICT p_navg =
286
1.44M
          chin.Row(y + 1 < chin.h ? y + 1 : y) + x0;
287
1.44M
      pixel_type *JXL_RESTRICT p_out = chout.Row(y << 1) + x0;
288
1.44M
      pixel_type *JXL_RESTRICT p_nout = chout.Row((y << 1) + 1) + x0;
289
1.44M
      const pixel_type *p_pout = y > 0 ? chout.Row((y << 1) - 1) + x0 : p_avg;
290
1.44M
      size_t x = 0;
291
1.44M
#if HWY_TARGET != HWY_SCALAR
292
8.50M
      for (; x + 7 < w; x += 8) {
293
7.05M
        FastUnsqueeze(p_residual + x, p_avg + x, p_navg + x, p_pout + x,
294
7.05M
                      p_out + x, p_nout + x);
295
7.05M
      }
296
1.44M
#endif
297
4.33M
      for (; x < w; x++) {
298
2.88M
        pixel_type_w avg = p_avg[x];
299
2.88M
        pixel_type_w next_avg = p_navg[x];
300
2.88M
        pixel_type_w top = p_pout[x];
301
2.88M
        pixel_type_w tendency = SmoothTendency(top, avg, next_avg);
302
2.88M
        pixel_type_w diff_minus_tendency = p_residual[x];
303
2.88M
        pixel_type_w diff = diff_minus_tendency + tendency;
304
2.88M
        pixel_type_w out = avg + (diff / 2);
305
2.88M
        p_out[x] = out;
306
        // If the chin_residual.h == chin.h, the output has an even number
307
        // of rows so the next line is fine. Otherwise, this loop won't
308
        // write to the last output row which is handled separately.
309
2.88M
        p_nout[x] = out - diff;
310
2.88M
      }
311
1.44M
    }
312
57.3k
    return true;
313
57.3k
  };
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3_ZEN4::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_AVX3_SPR::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
Unexecuted instantiation: squeeze.cc:jxl::N_SSE2::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)::$_0::operator()(unsigned int, unsigned long) const
314
51.3k
  JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.w, kColsPerThread),
315
51.3k
                                ThreadPool::NoInit, unsqueeze_slice,
316
51.3k
                                "InvVertSqueeze"));
317
318
51.3k
  if (chout.h & 1) {
319
23.4k
    size_t y = chin.h - 1;
320
23.4k
    const pixel_type *p_avg = chin.Row(y);
321
23.4k
    pixel_type *p_out = chout.Row(y << 1);
322
716k
    for (size_t x = 0; x < chin.w; x++) {
323
692k
      p_out[x] = p_avg[x];
324
692k
    }
325
23.4k
  }
326
51.3k
  input.channel[c] = std::move(chout);
327
51.3k
  return true;
328
51.3k
}
Unexecuted instantiation: jxl::N_SSE4::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
jxl::N_AVX2::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Line
Count
Source
240
58.1k
Status InvVSqueeze(Image &input, uint32_t c, uint32_t rc, ThreadPool *pool) {
241
58.1k
  JXL_ENSURE(c < input.channel.size());
242
58.1k
  JXL_ENSURE(rc < input.channel.size());
243
58.1k
  const Channel &chin = input.channel[c];
244
58.1k
  const Channel &chin_residual = input.channel[rc];
245
  // These must be valid since we ran MetaApply already.
246
58.1k
  JXL_ENSURE(chin.h == DivCeil(chin.h + chin_residual.h, 2));
247
58.1k
  JXL_ENSURE(chin.w == chin_residual.w);
248
58.1k
  JxlMemoryManager *memory_manager = input.memory_manager();
249
250
58.1k
  if (chin_residual.h == 0) {
251
    // Short-circuit: output channel has same dimensions as input.
252
6.80k
    input.channel[c].vshift--;
253
6.80k
    return true;
254
6.80k
  }
255
256
  // Note: chin.h >= chin_residual.h and at most 1 different.
257
102k
  JXL_ASSIGN_OR_RETURN(
258
102k
      Channel chout,
259
102k
      Channel::Create(memory_manager, chin.w, chin.h + chin_residual.h,
260
102k
                      chin.hshift, chin.vshift - 1));
261
102k
  JXL_DEBUG_V(
262
102k
      4,
263
102k
      "Undoing vertical squeeze of channel %i using residuals in channel "
264
102k
      "%i (going from height %" PRIuS " to %" PRIuS ")",
265
102k
      c, rc, chin.h, chout.h);
266
267
102k
  if (chin_residual.w == 0) {
268
    // Short-circuit: channel with no pixels.
269
0
    input.channel[c] = std::move(chout);
270
0
    return true;
271
0
  }
272
273
51.3k
  static constexpr const int kColsPerThread = 64;
274
51.3k
  const auto unsqueeze_slice = [&](const uint32_t task,
275
51.3k
                                   size_t /* thread */) -> Status {
276
51.3k
    const size_t x0 = task * kColsPerThread;
277
51.3k
    const size_t x1 =
278
51.3k
        std::min(static_cast<size_t>(task + 1) * kColsPerThread, chin.w);
279
51.3k
    const size_t w = x1 - x0;
280
    // We only iterate up to std::min(chin_residual.h, chin.h) which is
281
    // always chin_residual.h.
282
51.3k
    for (size_t y = 0; y < chin_residual.h; y++) {
283
51.3k
      const pixel_type *JXL_RESTRICT p_residual = chin_residual.Row(y) + x0;
284
51.3k
      const pixel_type *JXL_RESTRICT p_avg = chin.Row(y) + x0;
285
51.3k
      const pixel_type *JXL_RESTRICT p_navg =
286
51.3k
          chin.Row(y + 1 < chin.h ? y + 1 : y) + x0;
287
51.3k
      pixel_type *JXL_RESTRICT p_out = chout.Row(y << 1) + x0;
288
51.3k
      pixel_type *JXL_RESTRICT p_nout = chout.Row((y << 1) + 1) + x0;
289
51.3k
      const pixel_type *p_pout = y > 0 ? chout.Row((y << 1) - 1) + x0 : p_avg;
290
51.3k
      size_t x = 0;
291
51.3k
#if HWY_TARGET != HWY_SCALAR
292
51.3k
      for (; x + 7 < w; x += 8) {
293
51.3k
        FastUnsqueeze(p_residual + x, p_avg + x, p_navg + x, p_pout + x,
294
51.3k
                      p_out + x, p_nout + x);
295
51.3k
      }
296
51.3k
#endif
297
51.3k
      for (; x < w; x++) {
298
51.3k
        pixel_type_w avg = p_avg[x];
299
51.3k
        pixel_type_w next_avg = p_navg[x];
300
51.3k
        pixel_type_w top = p_pout[x];
301
51.3k
        pixel_type_w tendency = SmoothTendency(top, avg, next_avg);
302
51.3k
        pixel_type_w diff_minus_tendency = p_residual[x];
303
51.3k
        pixel_type_w diff = diff_minus_tendency + tendency;
304
51.3k
        pixel_type_w out = avg + (diff / 2);
305
51.3k
        p_out[x] = out;
306
        // If the chin_residual.h == chin.h, the output has an even number
307
        // of rows so the next line is fine. Otherwise, this loop won't
308
        // write to the last output row which is handled separately.
309
51.3k
        p_nout[x] = out - diff;
310
51.3k
      }
311
51.3k
    }
312
51.3k
    return true;
313
51.3k
  };
314
51.3k
  JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, DivCeil(chin.w, kColsPerThread),
315
51.3k
                                ThreadPool::NoInit, unsqueeze_slice,
316
51.3k
                                "InvVertSqueeze"));
317
318
51.3k
  if (chout.h & 1) {
319
23.4k
    size_t y = chin.h - 1;
320
23.4k
    const pixel_type *p_avg = chin.Row(y);
321
23.4k
    pixel_type *p_out = chout.Row(y << 1);
322
716k
    for (size_t x = 0; x < chin.w; x++) {
323
692k
      p_out[x] = p_avg[x];
324
692k
    }
325
23.4k
  }
326
51.3k
  input.channel[c] = std::move(chout);
327
51.3k
  return true;
328
51.3k
}
Unexecuted instantiation: jxl::N_AVX3::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_AVX3_ZEN4::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_AVX3_SPR::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_SSE2::InvVSqueeze(jxl::Image&, unsigned int, unsigned int, jxl::ThreadPool*)
329
330
Status InvSqueeze(Image &input, const std::vector<SqueezeParams> &parameters,
331
8.51k
                  ThreadPool *pool) {
332
52.9k
  for (int i = parameters.size() - 1; i >= 0; i--) {
333
44.4k
    JXL_RETURN_IF_ERROR(
334
44.4k
        CheckMetaSqueezeParams(parameters[i], input.channel.size()));
335
44.4k
    bool horizontal = parameters[i].horizontal;
336
44.4k
    bool in_place = parameters[i].in_place;
337
44.4k
    uint32_t beginc = parameters[i].begin_c;
338
44.4k
    uint32_t endc = parameters[i].begin_c + parameters[i].num_c - 1;
339
44.4k
    uint32_t offset;
340
44.4k
    if (in_place) {
341
28.1k
      offset = endc + 1;
342
28.1k
    } else {
343
16.2k
      offset = input.channel.size() + beginc - endc - 1;
344
16.2k
    }
345
44.4k
    if (beginc < input.nb_meta_channels) {
346
      // This is checked in MetaSqueeze.
347
3
      JXL_ENSURE(input.nb_meta_channels > parameters[i].num_c);
348
3
      input.nb_meta_channels -= parameters[i].num_c;
349
3
    }
350
351
157k
    for (uint32_t c = beginc; c <= endc; c++) {
352
113k
      uint32_t rc = offset + c - beginc;
353
      // MetaApply should imply that `rc` is within range, otherwise there's a
354
      // programming bug.
355
113k
      JXL_ENSURE(rc < input.channel.size());
356
113k
      if ((input.channel[c].w < input.channel[rc].w) ||
357
113k
          (input.channel[c].h < input.channel[rc].h)) {
358
0
        return JXL_FAILURE("Corrupted squeeze transform");
359
0
      }
360
113k
      if (horizontal) {
361
54.8k
        JXL_RETURN_IF_ERROR(InvHSqueeze(input, c, rc, pool));
362
58.1k
      } else {
363
58.1k
        JXL_RETURN_IF_ERROR(InvVSqueeze(input, c, rc, pool));
364
58.1k
      }
365
113k
    }
366
44.4k
    input.channel.erase(input.channel.begin() + offset,
367
44.4k
                        input.channel.begin() + offset + (endc - beginc + 1));
368
44.4k
  }
369
8.51k
  return true;
370
8.51k
}
Unexecuted instantiation: jxl::N_SSE4::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
jxl::N_AVX2::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
Line
Count
Source
331
8.51k
                  ThreadPool *pool) {
332
52.9k
  for (int i = parameters.size() - 1; i >= 0; i--) {
333
44.4k
    JXL_RETURN_IF_ERROR(
334
44.4k
        CheckMetaSqueezeParams(parameters[i], input.channel.size()));
335
44.4k
    bool horizontal = parameters[i].horizontal;
336
44.4k
    bool in_place = parameters[i].in_place;
337
44.4k
    uint32_t beginc = parameters[i].begin_c;
338
44.4k
    uint32_t endc = parameters[i].begin_c + parameters[i].num_c - 1;
339
44.4k
    uint32_t offset;
340
44.4k
    if (in_place) {
341
28.1k
      offset = endc + 1;
342
28.1k
    } else {
343
16.2k
      offset = input.channel.size() + beginc - endc - 1;
344
16.2k
    }
345
44.4k
    if (beginc < input.nb_meta_channels) {
346
      // This is checked in MetaSqueeze.
347
3
      JXL_ENSURE(input.nb_meta_channels > parameters[i].num_c);
348
3
      input.nb_meta_channels -= parameters[i].num_c;
349
3
    }
350
351
157k
    for (uint32_t c = beginc; c <= endc; c++) {
352
113k
      uint32_t rc = offset + c - beginc;
353
      // MetaApply should imply that `rc` is within range, otherwise there's a
354
      // programming bug.
355
113k
      JXL_ENSURE(rc < input.channel.size());
356
113k
      if ((input.channel[c].w < input.channel[rc].w) ||
357
113k
          (input.channel[c].h < input.channel[rc].h)) {
358
0
        return JXL_FAILURE("Corrupted squeeze transform");
359
0
      }
360
113k
      if (horizontal) {
361
54.8k
        JXL_RETURN_IF_ERROR(InvHSqueeze(input, c, rc, pool));
362
58.1k
      } else {
363
58.1k
        JXL_RETURN_IF_ERROR(InvVSqueeze(input, c, rc, pool));
364
58.1k
      }
365
113k
    }
366
44.4k
    input.channel.erase(input.channel.begin() + offset,
367
44.4k
                        input.channel.begin() + offset + (endc - beginc + 1));
368
44.4k
  }
369
8.51k
  return true;
370
8.51k
}
Unexecuted instantiation: jxl::N_AVX3::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_AVX3_ZEN4::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_AVX3_SPR::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
Unexecuted instantiation: jxl::N_SSE2::InvSqueeze(jxl::Image&, std::__1::vector<jxl::SqueezeParams, std::__1::allocator<jxl::SqueezeParams> > const&, jxl::ThreadPool*)
371
372
}  // namespace HWY_NAMESPACE
373
}  // namespace jxl
374
HWY_AFTER_NAMESPACE();
375
376
#if HWY_ONCE
377
378
namespace jxl {
379
380
HWY_EXPORT(InvSqueeze);
381
Status InvSqueeze(Image &input, const std::vector<SqueezeParams> &parameters,
382
8.51k
                  ThreadPool *pool) {
383
8.51k
  return HWY_DYNAMIC_DISPATCH(InvSqueeze)(input, parameters, pool);
384
8.51k
}
385
386
void DefaultSqueezeParameters(std::vector<SqueezeParams> *parameters,
387
9.29k
                              const Image &image) {
388
9.29k
  int nb_channels = image.channel.size() - image.nb_meta_channels;
389
390
9.29k
  parameters->clear();
391
9.29k
  size_t w = image.channel[image.nb_meta_channels].w;
392
9.29k
  size_t h = image.channel[image.nb_meta_channels].h;
393
9.29k
  JXL_DEBUG_V(
394
9.29k
      7, "Default squeeze parameters for %" PRIuS "x%" PRIuS " image: ", w, h);
395
396
  // do horizontal first on wide images; vertical first on tall images
397
9.29k
  bool wide = (w > h);
398
399
9.29k
  if (nb_channels > 2 && image.channel[image.nb_meta_channels + 1].w == w &&
400
6.07k
      image.channel[image.nb_meta_channels + 1].h == h) {
401
    // assume channels 1 and 2 are chroma, and can be squeezed first for 4:2:0
402
    // previews
403
5.80k
    JXL_DEBUG_V(7, "(4:2:0 chroma), %" PRIuS "x%" PRIuS " image", w, h);
404
5.80k
    SqueezeParams params;
405
    // horizontal chroma squeeze
406
5.80k
    params.horizontal = true;
407
5.80k
    params.in_place = false;
408
5.80k
    params.begin_c = image.nb_meta_channels + 1;
409
5.80k
    params.num_c = 2;
410
5.80k
    parameters->push_back(params);
411
5.80k
    params.horizontal = false;
412
    // vertical chroma squeeze
413
5.80k
    parameters->push_back(params);
414
5.80k
  }
415
9.29k
  SqueezeParams params;
416
9.29k
  params.begin_c = image.nb_meta_channels;
417
9.29k
  params.num_c = nb_channels;
418
9.29k
  params.in_place = true;
419
420
9.29k
  if (!wide) {
421
5.48k
    if (h > kMaxFirstPreviewSize) {
422
2.37k
      params.horizontal = false;
423
2.37k
      parameters->push_back(params);
424
2.37k
      h = (h + 1) / 2;
425
2.37k
      JXL_DEBUG_V(7, "Vertical (%" PRIuS "x%" PRIuS "), ", w, h);
426
2.37k
    }
427
5.48k
  }
428
27.3k
  while (w > kMaxFirstPreviewSize || h > kMaxFirstPreviewSize) {
429
18.0k
    if (w > kMaxFirstPreviewSize) {
430
17.4k
      params.horizontal = true;
431
17.4k
      parameters->push_back(params);
432
17.4k
      w = (w + 1) / 2;
433
17.4k
      JXL_DEBUG_V(7, "Horizontal (%" PRIuS "x%" PRIuS "), ", w, h);
434
17.4k
    }
435
18.0k
    if (h > kMaxFirstPreviewSize) {
436
13.8k
      params.horizontal = false;
437
13.8k
      parameters->push_back(params);
438
13.8k
      h = (h + 1) / 2;
439
13.8k
      JXL_DEBUG_V(7, "Vertical (%" PRIuS "x%" PRIuS "), ", w, h);
440
13.8k
    }
441
18.0k
  }
442
9.29k
  JXL_DEBUG_V(7, "that's it");
443
9.29k
}
444
445
Status CheckMetaSqueezeParams(const SqueezeParams &parameter,
446
98.2k
                              int num_channels) {
447
98.2k
  int c1 = parameter.begin_c;
448
98.2k
  int c2 = parameter.begin_c + parameter.num_c - 1;
449
98.2k
  if (c1 < 0 || c1 >= num_channels || c2 < 0 || c2 >= num_channels || c2 < c1) {
450
128
    return JXL_FAILURE("Invalid channel range");
451
128
  }
452
98.1k
  return true;
453
98.2k
}
454
455
10.5k
Status MetaSqueeze(Image &image, std::vector<SqueezeParams> *parameters) {
456
10.5k
  JxlMemoryManager *memory_manager = image.memory_manager();
457
10.5k
  if (parameters->empty()) {
458
9.29k
    DefaultSqueezeParameters(parameters, image);
459
9.29k
  }
460
461
53.8k
  for (auto &parameter : *parameters) {
462
53.8k
    JXL_RETURN_IF_ERROR(
463
53.8k
        CheckMetaSqueezeParams(parameter, image.channel.size()));
464
53.7k
    bool horizontal = parameter.horizontal;
465
53.7k
    bool in_place = parameter.in_place;
466
53.7k
    uint32_t beginc = parameter.begin_c;
467
53.7k
    uint32_t endc = parameter.begin_c + parameter.num_c - 1;
468
469
53.7k
    uint32_t offset;
470
53.7k
    if (beginc < image.nb_meta_channels) {
471
40
      if (endc >= image.nb_meta_channels) {
472
5
        return JXL_FAILURE("Invalid squeeze: mix of meta and nonmeta channels");
473
5
      }
474
35
      if (!in_place) {
475
8
        return JXL_FAILURE(
476
8
            "Invalid squeeze: meta channels require in-place residuals");
477
8
      }
478
27
      image.nb_meta_channels += parameter.num_c;
479
27
    }
480
53.7k
    if (in_place) {
481
33.9k
      offset = endc + 1;
482
33.9k
    } else {
483
19.7k
      offset = image.channel.size();
484
19.7k
    }
485
199k
    for (uint32_t c = beginc; c <= endc; c++) {
486
145k
      if (image.channel[c].hshift > 30 || image.channel[c].vshift > 30) {
487
6
        return JXL_FAILURE("Too many squeezes: shift > 30");
488
6
      }
489
145k
      size_t w = image.channel[c].w;
490
145k
      size_t h = image.channel[c].h;
491
145k
      if (w == 0 || h == 0) return JXL_FAILURE("Squeezing empty channel");
492
145k
      if (horizontal) {
493
71.0k
        image.channel[c].w = (w + 1) / 2;
494
71.0k
        if (image.channel[c].hshift >= 0) image.channel[c].hshift++;
495
71.0k
        w = w - (w + 1) / 2;
496
74.5k
      } else {
497
74.5k
        image.channel[c].h = (h + 1) / 2;
498
74.5k
        if (image.channel[c].vshift >= 0) image.channel[c].vshift++;
499
74.5k
        h = h - (h + 1) / 2;
500
74.5k
      }
501
145k
      JXL_RETURN_IF_ERROR(image.channel[c].shrink());
502
291k
      JXL_ASSIGN_OR_RETURN(Channel placeholder,
503
291k
                           Channel::Create(memory_manager, w, h));
504
291k
      placeholder.hshift = image.channel[c].hshift;
505
291k
      placeholder.vshift = image.channel[c].vshift;
506
291k
      placeholder.component = image.channel[c].component;
507
291k
      image.channel.insert(image.channel.begin() + offset + (c - beginc),
508
291k
                           std::move(placeholder));
509
291k
      JXL_DEBUG_V(0, "MetaSqueeze applied, current image: %s",
510
291k
                  image.DebugString().c_str());
511
291k
    }
512
53.7k
  }
513
10.3k
  return true;
514
10.5k
}
515
516
}  // namespace jxl
517
518
#endif